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Complex Filters Applied to Fingerprint Images Detecting Prominent Symmetry Points Used for Alignment
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS).
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR Centrum för tillämpade intelligenta system (IS-lab).ORCID-id: 0000-0002-4929-1262
2002 (engelsk)Inngår i: Biometric Authentication: International ECCV 2002 Workshop Copenhagen, Denmark, June 1, 2002 Proceedings, Berlin: Springer Berlin/Heidelberg, 2002, s. 39-47Kapittel i bok, del av antologi (Annet vitenskapelig)
Abstract [en]

For the alignment of two fingerprints position of certain landmarks are needed. These should be automatically extracted with low misidentification rate. As landmarks we suggest the prominent symmetry points (core-points) in the fingerprint. They are extracted from the complex orientation field estimated from the global structure of the fingerprint, i.e. the overall pattern of the ridges and valleys. Complex filters, applied to the orientation field in multiple resolution scales, are used to detect the symmetry and the type of symmetry. Experimental results are reported.

sted, utgiver, år, opplag, sider
Berlin: Springer Berlin/Heidelberg, 2002. s. 39-47
Serie
Lecture Notes In Computer Science, ISSN 0302-9743 ; 2359/2002
Emneord [en]
Fingerprints, Bioinformatics, Biometric identification, Information Systems, Optical pattern recognition, Pattern recognition systems
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-1361DOI: 10.1007/3-540-47917-1_5Scopus ID: 2-s2.0-84868619981Lokal ID: 2082/1740ISBN: 978-3-540-43723-9 (tryckt)OAI: oai:DiVA.org:hh-1361DiVA, id: diva2:238579
Tilgjengelig fra: 2008-04-25 Laget: 2008-04-25 Sist oppdatert: 2018-10-09bibliografisk kontrollert

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